Akey Sungheetha

1.3k total citations
84 papers, 683 citations indexed

About

Akey Sungheetha is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Akey Sungheetha has authored 84 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 16 papers in Computer Networks and Communications and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Akey Sungheetha's work include Brain Tumor Detection and Classification (11 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Artificial Intelligence in Healthcare (4 papers). Akey Sungheetha is often cited by papers focused on Brain Tumor Detection and Classification (11 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Artificial Intelligence in Healthcare (4 papers). Akey Sungheetha collaborates with scholars based in India, Ethiopia and United States. Akey Sungheetha's co-authors include Rajesh Sharma R, R Rajesh, R. Chinnaiyan, Sangram Patil, T. Karthikeyan, Chairma Lakshmi K R, R. Rajiv Gandhi, Rekha R Nair, Sumit Kumar Banshal and Shreya Hegde and has published in prestigious journals such as Transactions on Emerging Telecommunications Technologies, Journal of Computer Networks and Communications and Journal of Medical Imaging and Health Informatics.

In The Last Decade

Akey Sungheetha

47 papers receiving 583 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Akey Sungheetha India 12 214 169 111 108 92 84 683
A. Balasundaram India 15 164 0.8× 170 1.0× 70 0.6× 78 0.7× 167 1.8× 78 684
Hanan Abdullah Mengash Saudi Arabia 13 187 0.9× 239 1.4× 60 0.5× 72 0.7× 141 1.5× 66 868
Abu Sarwar Zamani Saudi Arabia 17 153 0.7× 279 1.7× 101 0.9× 82 0.8× 130 1.4× 90 862
Ahmed A. Elngar Egypt 14 215 1.0× 326 1.9× 62 0.6× 72 0.7× 119 1.3× 84 855
Mahmoud Ahmad Al‐Khasawneh Saudi Arabia 16 188 0.9× 208 1.2× 71 0.6× 114 1.1× 143 1.6× 70 681
Sunday Adeola Ajagbe Nigeria 14 116 0.5× 199 1.2× 49 0.4× 61 0.6× 163 1.8× 78 633
Piyush Kumar Pareek India 19 176 0.8× 321 1.9× 89 0.8× 91 0.8× 219 2.4× 173 1.0k
Ajmeera Kiran India 13 81 0.4× 185 1.1× 47 0.4× 58 0.5× 125 1.4× 111 638
Heba G. Mohamed Saudi Arabia 17 165 0.8× 147 0.9× 35 0.3× 128 1.2× 101 1.1× 73 695
Sunil L. Bangare India 12 126 0.6× 210 1.2× 54 0.5× 127 1.2× 208 2.3× 32 733

Countries citing papers authored by Akey Sungheetha

Since Specialization
Citations

This map shows the geographic impact of Akey Sungheetha's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Akey Sungheetha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akey Sungheetha more than expected).

Fields of papers citing papers by Akey Sungheetha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Akey Sungheetha. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Akey Sungheetha. The network helps show where Akey Sungheetha may publish in the future.

Co-authorship network of co-authors of Akey Sungheetha

This figure shows the co-authorship network connecting the top 25 collaborators of Akey Sungheetha. A scholar is included among the top collaborators of Akey Sungheetha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akey Sungheetha. Akey Sungheetha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sungheetha, Akey, et al.. (2025). Data‐Aggregation‐Aware Energy‐Efficient in Wireless Sensor Networks Using Multi‐Stream General Adversarial Network. Transactions on Emerging Telecommunications Technologies. 36(2).
2.
Subramaniam, Sakthivel, et al.. (2025). Analysis of Water Quality in Cauvery River by Using PCA with Various Classifications Technique. Procedia Computer Science. 258. 1391–1403.
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Hegde, Shreya, et al.. (2025). Deep Learning-Based Recognition of Handwritten English Characters. Procedia Computer Science. 258. 1783–1792.
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Sungheetha, Akey, et al.. (2025). Adaptive Anomaly Detection for Secure Federated Learning in IIoT Environments. Procedia Computer Science. 258. 536–551.
6.
Sungheetha, Akey, et al.. (2025). AI-Enhanced Triboelectric Surface Analysis for Smart Urban Accessibility Pattern Detection. Procedia Computer Science. 259. 1442–1451.
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R, Rajesh Sharma, et al.. (2025). Predicting Lung Diseases Using Machine Learning on X-ray Images. Procedia Computer Science. 259. 1432–1441. 1 indexed citations
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R, Rajesh Sharma, et al.. (2024). Heuristic Forest Fire Detection Using the Deep Learning Model with Optimized Cluster Head Selection Technique. Journal of Computer Networks and Communications. 2024(1). 3 indexed citations
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Sungheetha, Akey, et al.. (2024). Minor Damage Detection in Cars Using Transfer Learning Techniques. 1–6. 1 indexed citations
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Sharma, Rahul, et al.. (2016). Effective Disaster Management by Efficient Usage of Resources. 2(12). 239728. 2 indexed citations
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Sungheetha, Akey, et al.. (2013). Energy Saving Optimized Polymorphic Hybrid Multicast Routing Protocol. International Review on Computers and Software (IRECOS). 8(6). 1367–1373. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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